S
Suge Wang
Researcher at Shanxi University
Publications - 48
Citations - 968
Suge Wang is an academic researcher from Shanxi University. The author has contributed to research in topics: Computer science & Sentiment analysis. The author has an hindex of 15, co-authored 38 publications receiving 665 citations. Previous affiliations of Suge Wang include Shanghai University & Chinese Ministry of Education.
Papers
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A feature selection method based on improved fisher's discriminant ratio for text sentiment classification
TL;DR: Based on Fisher's discriminant ratio, an effective feature selection method is proposed for subjectivity text sentiment classification and is compared with the method based on Information Gain while Support Vector Machine is adopted as the classifier.
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BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis
TL;DR: This article proposes a BiLSTM model with multi-polarity orthogonal attention for implicit sentiment analysis and demonstrates that the model more accurately captures the characteristic differences among sentiment polarities.
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A novel attribute reduction approach for multi-label data based on rough set theory
TL;DR: A novel attribute reduction method based on rough set theory is proposed for multi-label data that can effectively reduce unnecessary attributes and improve multi- label classification accuracy.
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Rough set model based on formal concept analysis
TL;DR: A rough set model based on formal concept analysis is proposed and a complete and non-redundant set of decision dependencies can be obtained from a decision table, providing a better understanding of rough set theory from the perspective of formal conceptAnalysis.
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Formal concept analysis based on fuzzy granularity base for different granulations
TL;DR: This approach utilizes FCA in a GrC context and provides a practical basis for data analysis and processing and proves that the set of all these maximal rules is complete and nonredundant.